Training deep neural networks like Transformers is challenging. They suffering from vanishing gradients, ineffective weight updates, and slow convergence. In this video, we break down one of the most ...

Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is the ...

Abstract: Most Image-Text Matching (ITM) models adopt Triplet loss with Hard Negative mining (T-HN) as the optimization objective. T-HN mines the hardest negative samples in each batch for training ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are backpropagating through time. Understanding Backpropagation in RNN helps us to ...

Stock price prediction plays a crucial role in investment, corporate strategic planning, and government policy formulation. However, stock price prediction remains a challenging issue. To tackle this ...

A Canadian who has worked in the gaming industry for over two decades, Beck grew up on games such as Final Fantasy and Super Mario Bros. He specalizes in roleplaying games, but covers titles in almost ...

Kyle Larson’s win at Kansas Speedway in front of a sparse crowd was a great example of the fundamental problem NASCAR faces as it navigates the 2020s and beyond. To be clear, that problem has nothing ...

In a long-overdue rematch following the events at the Stone Wave Cliffs, Renoir is the boss waiting in Old Lumiere in Clair Obscur: Expedition 33. Here's what you need to know to defeat this imposing ...

Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...